Further cleanups

src/hellocomputer/analytics.py

@@ -1,36 +1,71 @@
-import duckdb
 import os
+from enum import StrEnum
+from pathlib import Path
+
+import duckdb
 from typing_extensions import Self
 
 
+class StorageEngines(StrEnum):
+    local = "Local"
+    gcs = "GCS"
+
+
 class DDB:
-    def __init__(self):
+    def __init__(
+        self,
+        storage_engine: StorageEngines,
+        sid: str | None = None,
+        path: Path | None = None,
+        gcs_access: str | None = None,
+        gcs_secret: str | None = None,
+        bucket: str | None = None,
+        **kwargs,
+    ):
         self.db = duckdb.connect()
         self.db.install_extension("spatial")
         self.db.install_extension("httpfs")
         self.db.load_extension("spatial")
         self.db.load_extension("httpfs")
         self.sheets = tuple()
-        self.path = ""
+        self.loaded = False
 
-    def gcs_secret(self, gcs_access: str, gcs_secret: str) -> Self:
+        if storage_engine == StorageEngines.gcs:
-        self.db.sql(f"""
+            if all(
-            CREATE SECRET (
+                gcs_access is not None,
-               TYPE GCS,
+                gcs_secret is not None,
-               KEY_ID '{gcs_access}',
+                bucket is not None,
-               SECRET '{gcs_secret}')
+                sid is not None,
-               """)
+            ):
+                self.db.sql(f"""
+                    CREATE SECRET (
+                    TYPE GCS,
+                    KEY_ID '{gcs_access}',
+                    SECRET '{gcs_secret}')
+                    """)
+                self.path_prefix = f"gcs://{bucket}/sessions/{sid}"
+            else:
+                raise ValueError(
+                    "With GCS storage engine you need to provide "
+                    "the gcs_access, gcs_secret, sid, and bucket keyword arguments"
+                )
 
-        return self
+        elif storage_engine == StorageEngines.local:
+            if path is not None:
+                self.path_prefix = path
+            else:
+                raise ValueError(
+                    "With local storage you need to provide the path keyword argument"
+                )
 
-    def load_metadata(self, path: str = "") -> Self:
+    def load_xls(self, xls_path: Path) -> Self:
         """For some reason, the header is not loaded"""
         self.db.sql(f"""
             create table metadata as (
             select
                 *
             from
-                st_read('{path}', 
+                st_read('{xls_path}', 
                         layer='metadata'
                         )
             )""")
@@ -39,62 +74,55 @@ class DDB:
             .fetchall()[0][0]
             .split(";")
         )
-        self.path = path
-
-        return self
-
-    def dump_local(self, path) -> Self:
-        # TODO: Port to fsspec and have a single dump file
-        self.db.query(f"copy metadata to '{path}/metadata.csv'")
 
         for sheet in self.sheets:
             self.db.query(f"""
-            copy 
+            create table {sheet} as  
                 (
                 select
                     *
                 from
                     st_read
                         (
-                        '{self.path}',
+                        '{xls_path}',
                         layer = '{sheet}'
                         )
                 )
-            to '{path}/{sheet}.csv'
                           """)
+
+        self.loaded = True
+
         return self
 
-    def dump_gcs(self, bucketname, sid) -> Self:
+    def dump(self) -> Self:
-        self.db.sql(
+        # TODO: Create a decorator
-            f"copy metadata to 'gcs://{bucketname}/sessions/{sid}/metadata.csv'"
+        if not self.loaded:
+            raise ValueError("Data should be loaded first")
+
+        self.db.query(f"copy metadata to '{self.path_prefix}/metadata.csv'")
+
+        for sheet in self.sheets:
+            self.db.query(f"copy {sheet} to '{self.path_prefix}/{sheet}.csv'")
+        return self
+
+    def load_folder(self) -> Self:
+        self.query(
+            f"""
+                create table metadata as (
+                select
+                    *
+                from
+                    read_csv_auto('{self.path_prefix}/metadata.csv')
+                )
+                """
         )
-
-        for sheet in self.sheets:
-            self.db.query(f"""
-            copy 
-                (
-                select
-                    *
-                from
-                    st_read
-                        (
-                        '{self.path}',
-                        layer = '{sheet}'
-                        )
-                )
-            to 'gcs://{bucketname}/sessions/{sid}/{sheet}.csv'
-                          """)
-
-        return self
-
-    def load_folder_local(self, path: str) -> Self:
         self.sheets = tuple(
             self.query(
-                f"""
+                """
                 select
                     Field2
                 from
-                    read_csv_auto('{path}/metadata.csv')
+                    metadata
                 where
                     Field1 = 'Sheets'
                 """
@@ -110,61 +138,21 @@ class DDB:
             select
                 *
             from
-                read_csv_auto('{path}/{sheet}.csv')
+                read_csv_auto('{self.path_prefix}/{sheet}.csv')
             )
             """)
 
-        return self
+        self.loaded = True
-
-    def load_folder_gcs(self, bucketname: str, sid: str) -> Self:
-        self.sheets = tuple(
-            self.query(
-                f"""
-                select
-                    Field2
-                from
-                    read_csv_auto(
-                        'gcs://{bucketname}/sessions/{sid}/metadata.csv'
-                        )
-                where
-                    Field1 = 'Sheets'
-                    """
-            )
-            .fetchall()[0][0]
-            .split(";")
-        )
-
-        # Load all the tables into the database
-        for sheet in self.sheets:
-            self.db.query(f"""
-            create table {sheet} as (
-            select
-                *
-            from
-                read_csv_auto('gcs://{bucketname}/sessions/{sid}/{sheet}.csv')
-            )
-            """)
 
         return self
 
-    def load_description_local(self, path: str) -> Self:
+    def load_description(self) -> Self:
         return self.query(
-            f"""
+            """
             select
                 Field2
             from
-                read_csv_auto('{path}/metadata.csv')
+                metadata
-            where
-                Field1 = 'Description'"""
-        ).fetchall()[0][0]
-
-    def load_description_gcs(self, bucketname: str, sid: str) -> Self:
-        return self.query(
-            f"""
-            select
-                Field2
-            from
-                read_csv_auto('gcs://{bucketname}/sessions/{sid}/metadata.csv')
             where
                 Field1 = 'Description'"""
         ).fetchall()[0][0]
@@ -182,9 +170,11 @@ class DDB:
                     f"select column_name, column_type from (describe {table})"
                 ).fetchall()
             )
+            + [os.linesep]
         )
 
-    def db_schema(self):
+    @property
+    def schema(self):
         return os.linesep.join(
             [
                 "The schema of the database is the following:",
@@ -194,3 +184,18 @@ class DDB:
 
     def query(self, sql, *args, **kwargs):
         return self.db.query(sql, *args, **kwargs)
+
+    def query_prompt(self, user_prompt: str) -> str:
+        query = (
+            f"The following sentence is the description of a query that "
+            f"needs to be executed in a database: {user_prompt}"
+        )
+
+        return os.linesep.join(
+            [
+                query,
+                self.schema,
+                self.load_description(),
+                "Return just the SQL statement",
+            ]
+        )

src/hellocomputer/config.py

@@ -6,7 +6,7 @@ class Settings(BaseSettings):
     gcs_access: str = "access"
     gcs_secret: str = "secret"
     gcs_bucketname: str = "bucket"
-    auth: bool = False
+    auth: bool = True
 
     model_config = SettingsConfigDict(env_file=".env")
 

src/hellocomputer/main.py

@@ -6,7 +6,7 @@ from pydantic import BaseModel
 
 import hellocomputer
 
-from .routers import files, sessions, analysis
+from .routers import analysis, files, sessions
 
 static_path = Path(hellocomputer.__file__).parent / "static"
 

src/hellocomputer/models.py

@@ -1,4 +1,5 @@
 from enum import StrEnum
+
 from langchain_community.chat_models import ChatAnyscale
 from langchain_core.messages import HumanMessage, SystemMessage
 

src/hellocomputer/routers/analysis.py

@@ -1,41 +1,29 @@
+import os
+
 from fastapi import APIRouter
 from fastapi.responses import PlainTextResponse
 
-from ..config import settings
+from hellocomputer.analytics import DDB, StorageEngines
-from ..models import Chat
-
-from hellocomputer.analytics import DDB
 from hellocomputer.extraction import extract_code_block
 
-import os
+from ..config import settings
+from ..models import Chat
 
 router = APIRouter()
 
 
 @router.get("/query", response_class=PlainTextResponse, tags=["queries"])
 async def query(sid: str = "", q: str = "") -> str:
-    print(q)
-    query = f"Write a query that {q} in the current database"
-
     chat = Chat(api_key=settings.anyscale_api_key, temperature=0.5)
-    db = (
+    db = DDB(
-        DDB()
+        StorageEngines.gcs,
-        .gcs_secret(settings.gcs_access, settings.gcs_secret)
+        gcs_access=settings.gcs_access,
-        .load_folder_gcs(settings.gcs_bucketname, sid)
+        gcs_secret=settings.gcs_secret,
-    )
+        bucket=settings.gcs_bucketname,
+        sid=sid,
+    ).load_folder()
 
-    prompt = os.linesep.join(
+    chat = await chat.eval("You're an expert sql developer", db.query_prompt())
-        [
-            query,
-            db.db_schema(),
-            db.load_description_gcs(settings.gcs_bucketname, sid),
-            "Return just the SQL statement",
-        ]
-    )
-
-    print(prompt)
-
-    chat = await chat.eval("You're an expert sql developer", prompt)
     query = extract_code_block(chat.last_response_content())
     result = str(db.query(query))
     print(result)

src/hellocomputer/routers/files.py

@@ -1,21 +1,22 @@
 import aiofiles
-import s3fs
+
+# import s3fs
 from fastapi import APIRouter, File, UploadFile
 from fastapi.responses import JSONResponse
 
+from ..analytics import DDB, StorageEngines
 from ..config import settings
-from ..analytics import DDB
 
 router = APIRouter()
 
 
 # Configure the S3FS with your Google Cloud Storage credentials
-gcs = s3fs.S3FileSystem(
+# gcs = s3fs.S3FileSystem(
-    key=settings.gcs_access,
+#     key=settings.gcs_access,
-    secret=settings.gcs_secret,
+#     secret=settings.gcs_secret,
-    client_kwargs={"endpoint_url": "https://storage.googleapis.com"},
+#     client_kwargs={"endpoint_url": "https://storage.googleapis.com"},
-)
+# )
-bucket_name = settings.gcs_bucketname
+# bucket_name = settings.gcs_bucketname
 
 
 @router.post("/upload", tags=["files"])
@@ -26,10 +27,15 @@ async def upload_file(file: UploadFile = File(...), sid: str = ""):
         await f.flush()
 
         (
-            DDB()
+            DDB(
-            .gcs_secret(settings.gcs_access, settings.gcs_secret)
+                StorageEngines.gcs,
-            .load_metadata(f.name)
+                gcs_access=settings.gcs_access,
-            .dump_gcs(settings.gcs_bucketname, sid)
+                gcs_secret=settings.gcs_secret,
+                bucket=settings.gcs_bucketname,
+                sid=sid,
+            )
+            .load_xls(f.name)
+            .dump()
         )
 
         return JSONResponse(

src/hellocomputer/routers/sessions.py

@@ -1,22 +1,16 @@
-from uuid import uuid4
 from typing import Annotated
+from uuid import uuid4
+
 from fastapi import APIRouter, Depends
 from fastapi.responses import PlainTextResponse
 
-from ..config import settings
 from ..security import oauth2_scheme
+
 # Scheme for the Authorization header
 
 router = APIRouter()
 
 
-if settings.auth:
-
-    @router.get("/token")
-    async def get_token() -> str:
-        return str(uuid4())
-
-
 @router.get("/new_session")
 async def get_new_session(token: Annotated[str, Depends(oauth2_scheme)]) -> str:
     return str(uuid4())

test/test_data.py

@@ -1,40 +1,50 @@
-import hellocomputer
-from hellocomputer.analytics import DDB
 from pathlib import Path
 
-TEST_DATA_FOLDER = Path(hellocomputer.__file__).parents[2] / "test" / "data"
+import hellocomputer
+from hellocomputer.analytics import DDB, StorageEngines
+
+TEST_STORAGE = StorageEngines.local
+TEST_XLS_PATH = (
+    Path(hellocomputer.__file__).parents[2]
+    / "test"
+    / "data"
+    / "TestExcelHelloComputer.xlsx"
+)
 TEST_OUTPUT_FOLDER = Path(hellocomputer.__file__).parents[2] / "test" / "output"
 
 
-def test_dump():
+def test_0_dump():
-    db = (
+    db = DDB(storage_engine=TEST_STORAGE, path=TEST_OUTPUT_FOLDER)
-        DDB()
+    db.load_xls(TEST_XLS_PATH).dump()
-        .load_metadata(TEST_DATA_FOLDER / "TestExcelHelloComputer.xlsx")
-        .dump_local(TEST_OUTPUT_FOLDER)
-    )
 
     assert db.sheets == ("answers",)
     assert (TEST_OUTPUT_FOLDER / "answers.csv").exists()
 
 
 def test_load():
-    db = DDB().load_folder_local(TEST_OUTPUT_FOLDER)
+    db = DDB(storage_engine=TEST_STORAGE, path=TEST_OUTPUT_FOLDER).load_folder()
-
-    assert db.sheets == ("answers",)
-
     results = db.query("select * from answers").fetchall()
     assert len(results) == 6
 
 
 def test_load_description():
-    file_description = DDB().load_description_local(TEST_OUTPUT_FOLDER)
+    db = DDB(storage_engine=TEST_STORAGE, path=TEST_OUTPUT_FOLDER).load_folder()
+    file_description = db.load_description()
     assert file_description.startswith("answers")
 
 
 def test_schema():
-    db = DDB().load_folder_local(TEST_OUTPUT_FOLDER)
+    db = DDB(storage_engine=TEST_STORAGE, path=TEST_OUTPUT_FOLDER).load_folder()
     schema = []
     for sheet in db.sheets:
         schema.append(db.table_schema(sheet))
 
-    assert schema[0].startswith("Table name:")
+    assert db.schema.startswith("The schema of the database")
+
+
+def test_query_prompt():
+    db = DDB(storage_engine=TEST_STORAGE, path=TEST_OUTPUT_FOLDER).load_folder()
+
+    assert db.query_prompt("Find the average score of all students").startswith(
+        "The following sentence"
+    )

test/test_query.py

@@ -1,14 +1,19 @@
-import pytest
 import os
-import hellocomputer
-from hellocomputer.config import settings
-from hellocomputer.models import Chat
-from hellocomputer.extraction import extract_code_block
 from pathlib import Path
-from hellocomputer.analytics import DDB
 
+import hellocomputer
+import pytest
+from hellocomputer.analytics import DDB, StorageEngines
+from hellocomputer.config import settings
+from hellocomputer.extraction import extract_code_block
+from hellocomputer.models import Chat
 
-TEST_OUTPUT_FOLDER = Path(hellocomputer.__file__).parents[2] / "test" / "output"
+TEST_XLS_PATH = (
+    Path(hellocomputer.__file__).parents[2]
+    / "test"
+    / "data"
+    / "TestExcelHelloComputer.xlsx"
+)
 
 
 @pytest.mark.asyncio
@@ -29,17 +34,10 @@ async def test_simple_data_query():
     query = "write a query that finds the average score of all students in the current database"
 
     chat = Chat(api_key=settings.anyscale_api_key, temperature=0.5)
-    db = DDB().load_folder_local(TEST_OUTPUT_FOLDER)
+    db = DDB(storage_engine=StorageEngines.local, path=TEST_XLS_PATH.parent).load_xls(
-
+        TEST_XLS_PATH
-    prompt = os.linesep.join(
-        [
-            query,
-            db.db_schema(),
-            db.load_description_local(TEST_OUTPUT_FOLDER),
-            "Return just the SQL statement",
-        ]
     )
 
-    chat = await chat.eval("You're an expert sql developer", prompt)
+    chat = await chat.eval("You're an expert sql developer", db.query_prompt(query))
     query = extract_code_block(chat.last_response_content())
     assert query.startswith("SELECT")